mirror of
https://git.in.rschanz.org/ryan77627/guix.git
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61 lines
2 KiB
Diff
61 lines
2 KiB
Diff
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Even when building without Kineto, the <ActivityType.h> header is still
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imported and the ActivityType type is used. This patch was copied from
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https://github.com/pytorch/pytorch/pull/111048.
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diff --git a/torch/csrc/profiler/kineto_shim.h b/torch/csrc/profiler/kineto_shim.h
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index e92cbf00..68985ab7 100644
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--- a/torch/csrc/profiler/kineto_shim.h
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+++ b/torch/csrc/profiler/kineto_shim.h
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@@ -12,7 +12,51 @@
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#undef USE_KINETO
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#endif
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+#ifdef USE_KINETO
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#include <ActivityType.h>
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+#else
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+namespace libkineto {
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+// copied from header
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+/*
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+ * Copyright (c) Meta Platforms, Inc. and affiliates.
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+ * All rights reserved.
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+ *
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+ * This source code is licensed under the BSD-style license found in the
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+ * LICENSE file in the root directory of this source tree.
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+ */
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+
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+// Note : All activity types are not enabled by default. Please add them
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+// at correct position in the enum
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+enum class ActivityType {
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+ // Activity types enabled by default
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+ CPU_OP = 0, // cpu side ops
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+ USER_ANNOTATION,
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+ GPU_USER_ANNOTATION,
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+ GPU_MEMCPY,
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+ GPU_MEMSET,
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+ CONCURRENT_KERNEL, // on-device kernels
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+ EXTERNAL_CORRELATION,
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+ CUDA_RUNTIME, // host side cuda runtime events
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+ CUDA_DRIVER, // host side cuda driver events
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+ CPU_INSTANT_EVENT, // host side point-like events
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+ PYTHON_FUNCTION,
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+ OVERHEAD, // CUPTI induced overhead events sampled from its overhead API.
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+
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+ // Optional Activity types
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+ CUDA_SYNC, // synchronization events between runtime and kernels
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+ GLOW_RUNTIME, // host side glow runtime events
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+ MTIA_RUNTIME, // host side MTIA runtime events
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+ CUDA_PROFILER_RANGE, // CUPTI Profiler range for performance metrics
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+ MTIA_CCP_EVENTS, // MTIA ondevice CCP events
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+ HPU_OP, // HPU host side runtime event
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+ XPU_RUNTIME, // host side xpu runtime events
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+
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+ ENUM_COUNT, // This is to add buffer and not used for any profiling logic. Add your new type before it.
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+ OPTIONAL_ACTIVITY_TYPE_START = CUDA_SYNC,
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+};
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+}
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+
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+#endif
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#include <torch/csrc/Export.h>
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#include <torch/csrc/profiler/api.h>
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